The list of my preprints and publications can also be found on Google Scholar.
Prepints
- B. Staber, S. Da Veiga, Benchmarking Bayesian neural networks and metrics for regression tasks (arXiv:2206.06779)
Publications
- R. Carpintero Perez, S. Da Veiga, J. Garnier, B. Staber, Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels, to appear (arXiv:2402.03838)
- C. Benard, B. Staber, S. Da Veiga, Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization, NeurIPS (2023) (openreview)
- F. Casenave, B. Staber, X. Roynard, MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability, NeurIPS (2023) (openreview)
- B. Staber, S. Forest, M. Al-Kotob, M. Mazière, T. Tose, Loss of ellipticity analysis in non-smooth plasticity, IJSS (2021) (hal-03372375)
- B. Staber, J. Guilleminot, C. Soize, J. Michopoulos, A. Iliopoulos, Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites, CMAME (2019) (sciencedirect)
- B. Staber, J. Guilleminot, A random field model for anisotropic strain energy functions and its application for uncertainty quantification in vascular mechanics, CMAME (2018à (sciencedirect)
- B. Staber, J. Guilleminot, Stochastic modeling and generation of random fields of elasticity tensors: a unified information-theoretic approach, CRM (2017) (sciencedirect)
- B. Staber, J. Guilleminot, Stochastic hyperelastic constitutive laws and identification procedure for soft biological tissues with intrinsic variability, JMBBM (2017) (hal-01367381)
- B. Staber, J. Guilleminot, Stochastic modeling of the Ogden class of stored energy functions for hyperelastic materials: the compressible case, ZAMM-Journal of Applied Mathemarics and Mechanics (2017) (wiley)
- B. Staber, J. Guilleminot, Functional approximation and projection of stored energy functions in computational homogenization of hyperelastic materials: A probabilistic perspective, CMAME (2017) (sciencedirect)
- B. Staber, J. Guilleminot, Stochastic modeling of a class of stored energy functions for incompressible hyperelastic materials with uncertainties, CRM (2015) (sciencedirect)
- B. Staber, J. Guilleminot, Approximate solutions of Lagrange multipliers for information-theoretic random field models, SIAM/JUQ (2015) (hal-01166830)